A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder
Research to discover clinically useful predictors of lithium response in patients with bipolar disorder has largely found them to be elusive. We demonstrate here that detailed neuroimaging may have the potential to fill this important gap in mood disorder therapeutics. Lithium treatment and bipolar...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-02-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2021.614010/full |
| _version_ | 1824041520082190336 |
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| author | Thomas L. Athey Thomas L. Athey Thomas L. Athey Can Ceritoglu Daniel J. Tward Daniel J. Tward Daniel J. Tward Kwame S. Kutten J. Raymond DePaulo Kara Glazer Fernando S. Goes John R. Kelsoe John R. Kelsoe Francis Mondimore Caroline M. Nievergelt Kelly Rootes-Murdy Peter P. Zandi Peter P. Zandi J. Tilak Ratnanather J. Tilak Ratnanather J. Tilak Ratnanather Pamela B. Mahon Pamela B. Mahon Pamela B. Mahon |
| author_facet | Thomas L. Athey Thomas L. Athey Thomas L. Athey Can Ceritoglu Daniel J. Tward Daniel J. Tward Daniel J. Tward Kwame S. Kutten J. Raymond DePaulo Kara Glazer Fernando S. Goes John R. Kelsoe John R. Kelsoe Francis Mondimore Caroline M. Nievergelt Kelly Rootes-Murdy Peter P. Zandi Peter P. Zandi J. Tilak Ratnanather J. Tilak Ratnanather J. Tilak Ratnanather Pamela B. Mahon Pamela B. Mahon Pamela B. Mahon |
| author_sort | Thomas L. Athey |
| collection | DOAJ |
| description | Research to discover clinically useful predictors of lithium response in patients with bipolar disorder has largely found them to be elusive. We demonstrate here that detailed neuroimaging may have the potential to fill this important gap in mood disorder therapeutics. Lithium treatment and bipolar disorder have both been shown to affect anatomy of the hippocampi and amygdalae but there is no consensus on the nature of their effects. We aimed to investigate structural surface anatomy changes in amygdala and hippocampus correlated with treatment response in bipolar disorder. Patients with bipolar disorder (N = 14) underwent lithium treatment, were classified by response status at acute and long-term time points, and scanned with 7 Tesla structural MRI. Large Deformation Diffeomorphic Metric Mapping was applied to detect local differences in hippocampal and amygdalar anatomy between lithium responders and non-responders. Anatomy was also compared to 21 healthy comparison participants. A patch of the ventral surface of the left hippocampus was found to be significantly atrophied in non-responders as compared to responders at the acute time point and was associated at a trend-level with long-term response status. We did not detect an association between response status and surface anatomy of the right hippocampus or amygdala. To the best of our knowledge, this is the first shape analysis of hippocampus and amygdala in bipolar disorder using 7 Tesla MRI. These results can inform future work investigating possible neuroimaging predictors of lithium response in bipolar disorder. |
| first_indexed | 2024-12-22T23:27:22Z |
| format | Article |
| id | doaj.art-242a947383e14984b805e763c8a2ae8a |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-12-22T23:27:22Z |
| publishDate | 2021-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-242a947383e14984b805e763c8a2ae8a2022-12-21T18:08:50ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402021-02-011210.3389/fpsyt.2021.614010614010A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar DisorderThomas L. Athey0Thomas L. Athey1Thomas L. Athey2Can Ceritoglu3Daniel J. Tward4Daniel J. Tward5Daniel J. Tward6Kwame S. Kutten7J. Raymond DePaulo8Kara Glazer9Fernando S. Goes10John R. Kelsoe11John R. Kelsoe12Francis Mondimore13Caroline M. Nievergelt14Kelly Rootes-Murdy15Peter P. Zandi16Peter P. Zandi17J. Tilak Ratnanather18J. Tilak Ratnanather19J. Tilak Ratnanather20Pamela B. Mahon21Pamela B. Mahon22Pamela B. Mahon23Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United StatesInstitute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United StatesDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United StatesCenter for Imaging Science, Johns Hopkins University, Baltimore, MD, United StatesCenter for Imaging Science, Johns Hopkins University, Baltimore, MD, United StatesInstitute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United StatesDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United StatesCenter for Imaging Science, Johns Hopkins University, Baltimore, MD, United StatesDepartment of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United StatesDepartment of Occupational Therapy, Boston University, Boston, MA, United StatesDepartment of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United StatesDepartment of Psychiatry, VA San Diego Healthcare System, La Jolla, CA, United StatesDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United StatesDepartment of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United StatesDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United StatesDepartment of Psychology, Georgia State University, Atlanta, GA, United StatesDepartment of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United StatesDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesCenter for Imaging Science, Johns Hopkins University, Baltimore, MD, United StatesInstitute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United StatesDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United StatesDepartment of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United States0Department of Psychiatry, Brigham & Women's Hospital, Boston, MA, United States1Department of Psychiatry, Harvard School of Medicine, Boston, MA, United StatesResearch to discover clinically useful predictors of lithium response in patients with bipolar disorder has largely found them to be elusive. We demonstrate here that detailed neuroimaging may have the potential to fill this important gap in mood disorder therapeutics. Lithium treatment and bipolar disorder have both been shown to affect anatomy of the hippocampi and amygdalae but there is no consensus on the nature of their effects. We aimed to investigate structural surface anatomy changes in amygdala and hippocampus correlated with treatment response in bipolar disorder. Patients with bipolar disorder (N = 14) underwent lithium treatment, were classified by response status at acute and long-term time points, and scanned with 7 Tesla structural MRI. Large Deformation Diffeomorphic Metric Mapping was applied to detect local differences in hippocampal and amygdalar anatomy between lithium responders and non-responders. Anatomy was also compared to 21 healthy comparison participants. A patch of the ventral surface of the left hippocampus was found to be significantly atrophied in non-responders as compared to responders at the acute time point and was associated at a trend-level with long-term response status. We did not detect an association between response status and surface anatomy of the right hippocampus or amygdala. To the best of our knowledge, this is the first shape analysis of hippocampus and amygdala in bipolar disorder using 7 Tesla MRI. These results can inform future work investigating possible neuroimaging predictors of lithium response in bipolar disorder.https://www.frontiersin.org/articles/10.3389/fpsyt.2021.614010/fulllithium7T MRIshape analysisamygdalahippocampusbipolar disorder |
| spellingShingle | Thomas L. Athey Thomas L. Athey Thomas L. Athey Can Ceritoglu Daniel J. Tward Daniel J. Tward Daniel J. Tward Kwame S. Kutten J. Raymond DePaulo Kara Glazer Fernando S. Goes John R. Kelsoe John R. Kelsoe Francis Mondimore Caroline M. Nievergelt Kelly Rootes-Murdy Peter P. Zandi Peter P. Zandi J. Tilak Ratnanather J. Tilak Ratnanather J. Tilak Ratnanather Pamela B. Mahon Pamela B. Mahon Pamela B. Mahon A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder Frontiers in Psychiatry lithium 7T MRI shape analysis amygdala hippocampus bipolar disorder |
| title | A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder |
| title_full | A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder |
| title_fullStr | A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder |
| title_full_unstemmed | A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder |
| title_short | A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder |
| title_sort | 7 tesla amygdalar hippocampal shape analysis of lithium response in bipolar disorder |
| topic | lithium 7T MRI shape analysis amygdala hippocampus bipolar disorder |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2021.614010/full |
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